Training method of multi-moving object action identification and multi-moving object action identification method
A multi-moving target and moving target technology, which is applied to the training method and recognition field of multi-moving target action behavior recognition, can solve the problems of neglect, lack of effective methods for group action behavior classification, and poor expression ability of action behavior patterns. The effect of good recognition effect
A multi-moving target and moving target technology, which is applied to the training method and recognition field of multi-moving target action behavior recognition, can solve the problems of neglect, lack of effective methods for group action behavior classification, and poor expression ability of action behavior patterns. The effect of good recognition effect
CN101866429AInactive Publication Date: 2010-10-20INST OF COMPUTING TECH CHINESE ACAD OF SCI
Image
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0039] The present invention will be described below in conjunction with the accompanying drawings and specific embodiments.
[0040] In the current video, people are the main moving objects. Therefore, in the process of describing the multi-moving object action behavior training and recognition method of the present invention, people are taken as an example to illustrate related methods. Since the method of the present invention is to identify the actions of multiple people in the video, the video to be processed generally should include multiple people.
[0041] refer to figure 1, in step S1, extract the motion trajectory information of each person from the video data containing the actions of multiple people. It is common knowledge of those skilled in the art to extract personal movement trajectory information from videos. Related methods in the prior art are used, such as detecting and tracking moving objects in the video respectively, so as to obtain the movement traject...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention provides a training method of multi-moving object action identification, comprising the following steps of: extracting the movement track information of each moving object from video data; layering the movement track information of the moving objects; modeling for the movement mode of the multi-moving object action on each layer; carrying out characteristic description on the model of the movement mode by synthesizing the overall and local movement information in a video, wherein the characteristic at least comprises a three-dimensional hyper-parameter vector for describing the movement track by using a gaussian process; and training a grader according to the characteristic. The invention also provides a multi-moving object action identification method which identifies the multi-moving object action in the video by utilizing the grader obtained by using the training method. In the invention, the movement track of an object is represented by using the gaussian process from a probability angle, and a model is established for a multi-people action mode from three granularity layers, and the characteristics are extracted, which makes the representation of the multi-people action more practical.
Description
technical field [0001] The invention relates to the field of content-based video analysis and action recognition, in particular to a training method and recognition method for multi-moving target action behavior recognition. Background technique [0002] With the development and application of information technology, more and more digital content, especially video data, is continuously produced. These video data contain rich semantic information. How to effectively explore and utilize this information is a frontier research direction in the field. . [0003] Video content is usually composed of a large number of objects and their motion behaviors. Analyzing and understanding these motion behaviors is an important part of video content analysis. With the widespread deployment of video surveillance systems, the demand for behavior analysis and recognition in videos is also increasing, and the requirements for the difficulty and accuracy of analyzing and identifying content ar...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
20 Oct 2010
Publication
CN101866429A
- IPC
- G06K9/66; G06T7/20
- Inventors
- 黄庆明; 成仲炜